i need matlab code for ant colony optimization for length find(target-order==0)

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shobana manoharan
shobana manoharan 2019-9-30
回答： Shashank Gupta 2019-10-3
i need matlab coding for ant colony optimizat
Step 1: Read the given mat file target.mat to obtain the variable target using the command load target.mat
Step 2: Implement Ant Colony Optimization for 100 iterations to optimize the variable order by maximizing the objective function
J=length(find(target-order)==0);
Step 3: Store the best functional value after first iteration as J_start
Step 4: Implement Ant Colony Optimization for 100 iterations, and store the best functional value after the 100th iteration, as J_final
opt=0;
if J_final-J_start>0
opt=1;
end
flag=0;
if J_final>=6
flag=1;
end
The final assessment includes the variables opt and flag.

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回答（1 个）

Shashank Gupta
Shashank Gupta 2019-10-3
Hi Shobana,
Ant colony Optimization (ACO) and Particle swarm optimization(PSO) are the recent Evolutionary algorithm and need a very clear understanding of Distributive algorithms. I suggest to kindly go through the math of these algorithm first to get a nice feel of the inline optimization happening. Morever you can find a MATLAB implementation of ACO from the following link,
https://www.mathworks.com/matlabcentral/fileexchange/52859-ant-colony-optimization-aco
This File exchange link will give a better understanding of how an optimization algorithm can be implemented. This can also be easily adapted to what you are intended to do.
I hope this helps,
Happy Learning.

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